Recurrent, nonequilibrium systems and the Markov blanket assumption.
Recurrent, nonequilibrium systems and the Markov blanket assumption.
复制标题
循环非平衡系统和马尔可夫一揽子假设。
DOI:
10.1017/s0140525x22000309
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发表时间:
2022
期刊:
影响因子:
--
通讯作者:
Aguilera M
中科院分区:
文献类型:
--
作者:
Aguilera M
Markov blankets–statistical independences between system and environment–have become popular to describe the boundaries of living systems under Bayesian views of cognition. The intuition behind Markov blankets originates from considering acyclic, atemporal networks. In contrast, living systems display recurrent, nonequilibrium interactions that generate pervasive couplings between system and environment, making Markov blankets highly unusual and restricted to particular cases.In the target article, Bruineberg et al.(2021) disrupt current debates about the role of Markov Blankets in demarcating the boundaries between living system and their environment. The authors accurately describe the gap between a Markov blanket as a useful property for statistical inference and the more ontologically loaded concept in the FEP, as a boundary within which Bayesian inference occurs. While the arguments pursued by the target article are both correct and important, we think that a fundamental concern remains unaddressed as the paper tacitly accepts (as generally the FEP does) that Markov blankets can be identified largely on the basis of the structural connectivity of a system (as opposed to its functional connectivity).